Open hlafmanta opened 1 month ago
Try running the model on the CPU (though this might slow down execution). You can disable the CUDA execution provider in your ONNX runtime session to force it to run on the CPU.
how to do it please.
What's your computer configuration
How are you running the application? Are you using the run_cuda.bat? If yes, just lower the memory and threads depending on your specs.
How are you running the application? Are you using the run_cuda.bat? If yes, just lower the memory and threads depending on your specs.
++ Read this - https://www.reddit.com/r/CUDA/comments/z6r7aj/does_cuda_not_work_on_gtx_1650/
onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Gemm node. Name:'fc1' Status Message: D:\a\_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:121 onnxruntime::CudaCall D:\a\_work\1\s\onnxruntime\core\providers\cuda\cuda_call.cc:114 onnxruntime::CudaCall CUBLAS failure 3: CUBLAS_STATUS_ALLOC_FAILED ; GPU=0 ; hostname=TOBI ; file=D:\a\_work\1\s\onnxruntime\core\providers\cuda\cuda_execution_provider.cc ; line=168 ; expr=cublasCreate(&cublas_handle_);
onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Conv node. Name:'Conv_111' Status Message: D:\a\_work\1\s\onnxruntime\core\framework\bfc_arena.cc:376 onnxruntime::BFCArena::AllocateRawInternal Failed to allocate memory for requested buffer of size 13111296
when I add image and target I add video after export frames it stop the process after showing the message above.